Researchers are developing magnonic processors that use magnetic spin waves instead of electric current to process data. Rachel Brazil discovers how it could potentially reduce energy consumption by 90% and offer new possibilities for neuromorphic computing
Magnonic computing, a cutting-edge approach that uses magnetic spin waves instead of electric currents to process data, could dramatically reduce energy consumption in future devices. Researchers are developing prototype processors using materials like yttrium iron garnet and exploring new organic and anti-ferromagnetic alternatives. These spin-wave systems promise faster, more efficient data handling and could pave the way for neuromorphic and quantum computing applications. While industry adoption is still limited, scientists believe magnonics may be key to overcoming the limitations of current CMOS technology.